Gabriele Bartolini: CNPG Recipe 22 - Leveraging the New Supply Chain and Image Catalogs
gabrielebartolini.it·1d
🗑️Stack Scanning GC
Master KV cache aware routing with llm-d for efficient AI inference
developers.redhat.com·4h
📡Erlang BEAM
Hume AI Octave 2: new text-to-speech model, 11+ languages
hume.ai·3d·
Discuss: Hacker News
🔄Incremental Lexing
Detection Engineering: Practicing Detection-as-Code – Monitoring – Part 7
blog.nviso.eu·3h
🔍Execution Tracing
AI: The ultimate slacker's dream come true - theregister.com
news.google.com·1d
🏠indieweb
Property-based testing of batch-invariant operations
mmaaz.ca·1d·
Discuss: Hacker News
🎲Property Testing
How to write nonfunctional requirements for AI agents
infoworld.com·2h
🎮Language Ergonomics
Toy Binary Decision Diagrams
philipzucker.com·1d
✅Type Checking
Better alternative for CPU only realtime TTS library
reddit.com·17h·
Discuss: r/LocalLLaMA
⚡Tokenizer Optimization
Evolution Strategies at Scale: LLM Fine-Tuning Beyond Reinforcement Learning
reddit.com·13h·
Discuss: r/LocalLLaMA
🪜Recursive Descent
A Primer on Memory Consistency and Cache Coherence, Second Edition
link.springer.com·1d·
Discuss: r/programming
🧠Memory Models
Week 3: Mongoose and the Basics of JWT Authentication
dev.to·18h·
Discuss: DEV
📋JSON Parsers
Increasing LLM response trustworthiness using voting ensembles
arxiv.org·7h
🎲Parser Fuzzing
Cost Efficient Fairness Audit Under Partial Feedback
arxiv.org·7h
⚖️Weighted Automata
I Made an AI Document Analyzer So You Don’t Have To (But You’ll Probably Want To)
github.com·3d·
Discuss: DEV
🔍Tokenizers
Paper2Video: Automatic Video Generation from Scientific Papers
arxiv.org·7h
🌳Parser Visualization
Large Language Models Achieve Gold Medal Performance at International Astronomy & Astrophysics Olympiad
arxiv.org·7h
🌱Minimal ML
Why LLMs Hallucinate on Emojis (And 4 Tokens That Break Production AI)
dev.to·1d·
Discuss: DEV
🌊Gradual Effects
Closing the Loop: Coordinating Inventory and Recommendation via Deep Reinforcement Learning on Multiple Timescales
arxiv.org·7h
🔄Coroutines
Read the Scene, Not the Script: Outcome-Aware Safety for LLMs
arxiv.org·7h
🪜Recursive Descent